Outputs (34)

A Data Serialization-based Framework for Efficient IoT Management (2024)
Presentation / Conference Contribution
Huseynov, K., Cakir, L. V., Al-Shareeda, S., Özdem, M., & Canberk, B. (2024, November). A Data Serialization-based Framework for Efficient IoT Management. Presented at 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), Ottawa, Canada

The Internet of Things (IoT) management relies on the efficient and timely transfer of data from sensors to applications. Processing required data transformations at the edge gateway introduces spatial complexity issues, particularly concerning resou... Read More about A Data Serialization-based Framework for Efficient IoT Management.

Autonomous Queue Management System in Software-defined Routers for Sensor Networks (2024)
Presentation / Conference Contribution
Yigit, Y., Maglaras, L., Karantzalos, K., Gursu, K., Ozdem, M., Buchanan, W. J., & Canberk, B. (2024, November). Autonomous Queue Management System in Software-defined Routers for Sensor Networks. Presented at 2024 IEEE 10th World Forum on Internet of Things (WF-IoT), Ottawa, Canada

Recent advancements in sensor networks, the In-ternet of Things (IoT), and machine communication technologies have led to a significant increase in network traffic across various domains. However, this growth has brought forth the critical challenge... Read More about Autonomous Queue Management System in Software-defined Routers for Sensor Networks.

Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks (2024)
Presentation / Conference Contribution
Duran, K., Ozdem, M., Gursu, K., & Canberk, B. (2024, November). Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks. Presented at 2024 IEEE 10th World Forum on Internet of Things (WFIoT2024), Ottawa, Canada

The dramatic increase in the number of smart services and their diversity poses a significant challenge in Internet of Things (IoT) networks: heterogeneity. This causes significant quality of service (QoS) degradation in IoT networks. In addition, th... Read More about Q-CSM: Q-Learning-based Cognitive Service Management in Heterogeneous IoT Networks.

Generative AI-enabled Digital Twins for 6G-enhanced Smart Cities (2024)
Presentation / Conference Contribution
Duran, K., Cakir, L. V., Ozdem, M., Gursu, K., & Canberk, B. (2024, December). Generative AI-enabled Digital Twins for 6G-enhanced Smart Cities. Paper presented at IEEE Global Communications Conference (GLOBECOM) 2024, Cape Town, South Africa

6G networks are envisioned to enable a wide range of applications, such as autonomous vehicles and smart cities. However, this rapid expansion of network topologies makes the management of 6G wireless networks more complex and leads to performance de... Read More about Generative AI-enabled Digital Twins for 6G-enhanced Smart Cities.

Group-Signature Authentication to Secure Task Offloading in Vehicular Edge Twin Networks (2024)
Presentation / Conference Contribution
Al-Shareeda, S., Ozguner, F., & Canberk, B. (2024, December). Group-Signature Authentication to Secure Task Offloading in Vehicular Edge Twin Networks. Paper presented at 2024 IEEE Global Communications Conference (GLOBECOM), Cape Town, South Africa

This study delves into the integration of Group Signature (GS)-based authentication within Vehicular Edge Twin Networks (VETNs), a critical component in ensuring secure and efficient vehicular communication. By leveraging Proximal Policy Optimization... Read More about Group-Signature Authentication to Secure Task Offloading in Vehicular Edge Twin Networks.

Efficient Roof Selection in Rainwater Harvesting: Hybrid Multi-criteria and Experimental Approach (2024)
Journal Article
Hamidi, M. N., Shitreh, S., Cengiz, A. I., Ozcelik, K., Eryildiz-Yesir, B., Ekmekcioğlu, Ö., Halat, O. M., Demirel, M. C., Canberk, B., Koyuncu, I., Isik, O., Guven, H., Ozgun, H., & Ersahin, M. E. (2025). Efficient Roof Selection in Rainwater Harvesting: Hybrid Multi-criteria and Experimental Approach. Water Resources Management, 39, 1567–1586. https://doi.org/10.1007/s11269-024-04023-3

This study aimed to investigate the effects of different roof configurations on the quality of harvested rainwater (HRW) for sustainable irrigation in agriculture. Three roofing materials (i.e. shingle, galvanized metal, and clay tile) and three roof... Read More about Efficient Roof Selection in Rainwater Harvesting: Hybrid Multi-criteria and Experimental Approach.

Internet of Twins Approach: Digital-Twin-as-a-Platform Architecture (2024)
Journal Article
Cakir, L. V., Özdem, M., Ahmadi, H., Duong, T. Q., & Canberk, B. (2025). Internet of Twins Approach: Digital-Twin-as-a-Platform Architecture. IEEE Internet Computing, 29(1), 65-74. https://doi.org/10.1109/mic.2024.3491915

Digital twins (DTs) are becoming integral in sectors such as energy and manufacturing, catalyzing applications from monitoring and analysis to optimization and autonomous management. However, data in different formats, volumes, and qualities require... Read More about Internet of Twins Approach: Digital-Twin-as-a-Platform Architecture.

Optimized Resource Allocation for Cloud-Native 6G Networks: Zero-Touch ML Models in Microservices-based VNF Deployments (2024)
Journal Article
Chetty, S. B., Nag, A., Al-Tahmeesschi, A., Wang, Q., Canberk, B., Marquez-Barja, J., & Ahmadi, H. (2025). Optimized Resource Allocation for Cloud-Native 6G Networks: Zero-Touch ML Models in Microservices-based VNF Deployments. IEEE Network, 39(4), 235-243. https://doi.org/10.1109/mnet.2024.3486623

6G, the next generation of mobile networks, is set to offer even higher data rates, ultra-reliability, and lower latency than 5G. New 6G services will increase the load and dynamism of the network. Network Function Virtualization (NFV) aids with this... Read More about Optimized Resource Allocation for Cloud-Native 6G Networks: Zero-Touch ML Models in Microservices-based VNF Deployments.

Digital Twin-empowered Green Mobility Management in Next-Gen Transportation Networks (2024)
Journal Article
Duran, K., Cakir, L. V., Fonzone, A., Duong, T. Q., & Canberk, B. (2024). Digital Twin-empowered Green Mobility Management in Next-Gen Transportation Networks. IEEE Open Journal of Vehicular Technology, 5, 1650-1662. https://doi.org/10.1109/ojvt.2024.3484956

Evolving transportation networks need seamless integration and effective infrastructure utilisation to form the next-generation transportation networks. Also, they should be capable of capturing the traffic flow data at the right time and promptly ap... Read More about Digital Twin-empowered Green Mobility Management in Next-Gen Transportation Networks.

Real-Time Digital Twin Platform: A Case Study on Core Network Selection in Aeronautical Ad-hoc Networks (2024)
Journal Article
Cakir, L. V., Kocak, M., Özdem, M., & Canberk, B. (2024). Real-Time Digital Twin Platform: A Case Study on Core Network Selection in Aeronautical Ad-hoc Networks. ITU Journal of Wireless Communications and Cybersecurity, 1(1), 41-46

The development of Digital Twins (DTs) is hindered by a lack of specialized, open-source solutions that can meet the demands of dynamic applications. This has caused state-of-the-art DT applications to be validated using offline data. However, this a... Read More about Real-Time Digital Twin Platform: A Case Study on Core Network Selection in Aeronautical Ad-hoc Networks.